import cv2
import mediapipe as mp
import time



class handDetector():
    def __init__(self, mode = False, maxHands = 2, detectionCon = 0.5, trackCon = 0.5):
        """
        初始化参数
        mode: 是否输入静态图像
        maxhands: 检测到手的最大数量
        detectionCon: 检测手的置信度
        trackCon: 追踪手的置信度
        """
        self.mode = mode
        self.maxHands = maxHands
        self.detectionCon = detectionCon
        self.trackCon = trackCon

        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands(self.mode, self.maxHands, self.detectionCon, self.trackCon)
        self.mpDraw = mp.solutions.drawing_utils
    def findHands(self,img,draw = True):
        """
        检测手掌
        img:要识别的一帧图像
        draw: 是否对手的标志点进行绘图
        return: 绘图完成的一帧图像
        """
        imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        self.results = self.hands.process(imgRGB)
        if self.results.multi_hand_landmarks:
            for handLms in self.results.multi_hand_landmarks:
                if draw:
                    self.mpDraw.draw_landmarks(img, handLms, self.mpHands.HAND_CONNECTIONS)
        return img
        

def main():
    pTime = 0
    cTime = 0
    cap = cv2.VideoCapture(0)
    detector = handDetector()
    while True:
        sucess, img = cap.read()
        img = detector.findHands(img)
        cTime = time.time()
        fps = 1/(cTime - pTime)
        pTime = cTime

        cv2.putText(img, str(int(fps)), (10,70), cv2.FONT_HERSHEY_PLAIN, 3,(255,255,255),2)
        cv2.imshow("Image",img)
        if cv2.waitKey(1) & 0xff == ord('q'):
            break


if __name__ == "__main__":
    main()
